Mixture Optimization of Cementitious Materials Using Machine Learning and Metaheuristic Algorithms: State of the Art and Future Prospects

The hybrid optimization of modern cementitious materials requires concrete to meet many competing objectives (e.g., mechanical properties, cost, workability, environmental requirements, and durability). This paper reviews the current literature on optimizing mixing ratios using machine learning and...

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Detalles Bibliográficos
Autores principales: Song, Yaxin, Wang, Xudong, Li, Houchang, He, Yanjun, Zhang, Zilong, Huang, Jiandong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653738/
https://www.ncbi.nlm.nih.gov/pubmed/36363421
http://dx.doi.org/10.3390/ma15217830

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653738/
https://www.ncbi.nlm.nih.gov/pubmed/36363421
http://dx.doi.org/10.3390/ma15217830

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